Research on forecasting methods of time series data has become one of the hot spots. More
and more time series data are produced in various fields. It provides data for the research of …

Recently, there seems to be increased interest in time series forecasting using soft
computing (SC) techniques, such as fuzzy sets, artificial neural networks (ANNs), rough set …

Rising market demands, economic pressures, and technological advancements have
spurred researchers to seek ways to enhance business environments and scientific …

ABSTRACT Effective management of Distributed Energy Resources (DERs) and
optimization of grid operations are crucial responsibilities of Distribution System Operators …

In this paper, we propose a new fuzzy time series forecasting method for forecasting the
Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy time …

Given the high potential benefits and impacts of accurate stock market predictions,
considerable research attention has been devoted to time series forecasting for stock …

Time series analysis and forecasting future values has been a major research focus since
years ago. Time series analysis and forecasting in time series data finds it significance in …

Time series forecasting is an important and widely popular topic in the research of system
modeling, and stock index forecasting is an important issue in time series forecasting …

This paper presents a new fuzzy time series model combined with ant colony optimization
(ACO) and auto-regression. The ACO is adopted to obtain a suitable partition of the universe …

Financial time series prediction problems, for decision-makers, are always crucial as they
have a wide range of applications in the public and private sectors. This study presents a …